DocumentCode :
2567278
Title :
Simulation based optimization for the loading-unloading strategies of railway container terminal
Author :
Dong Li ; Dingwei Wang
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
fYear :
2008
fDate :
2-4 July 2008
Firstpage :
3960
Lastpage :
3965
Abstract :
It is difficult to build a mathematical model for a railway container terminal because its complexity and randomicity. A simulation based optimization(SBO) algorithm is adopted to search optimal solution on deployment of equipments and the loading-unloading strategies in the railway container terminal, where simulation model is combined with GA. The definition of suppositional evaluation is presented which helps to decrease computing time. To compute fitness quickly and distribute the computing resource rationally, methods of case retrieval and adjusting time step and simulating times are used. All of these make the algorithm not only decrease the computing time evidently but also have the ability to gain satisfied solutions. The performance of the algorithm is demonstrated by a simulation of loading-unloading operation in a railway container terminal. Finally, optimal loading-unloading strategies are analyzed and compared.
Keywords :
genetic algorithms; loading equipment; railways; unloading; GA; loading-unloading strategies; railway container terminal; search optimal solution; simulation based optimization; suppositional evaluation; Conferences; GA; optimization; simulation; strategy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Type :
conf
DOI :
10.1109/CCDC.2008.4598075
Filename :
4598075
Link To Document :
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